Consistent Character With Pose Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "consistent-character-with-pose",
 9    base_64=False,
10    custom_height=1024,
11    custom_width=1024,
12    face_image="https://segmind-sd-models.s3.amazonaws.com/display_images/ccpose_ip.png",
13    output_format="png",
14    pose_image="https://segmind-sd-models.s3.amazonaws.com/display_images/cc_pose_img.png",
15    prompt="A candid photo of a woman , wearing a blue denim shirt and matching jeans. light smile on her face",
16    quality=95,
17    samples=1,
18    seed=2778725438,
19    use_input_img_dimension=True,
20)
21print(result["status"])                      # COMPLETED
22print(result.get("output"))                  # model output (e.g. media URL)
23print(result["metrics"]["inference_time"])   # server compute seconds
24
25# --- Or submit + poll manually (track request_id, control the cadence) ---
26from segmind import SegmindClient, InferenceFailed, InferenceTimeout
27
28client = SegmindClient()                      # reads SEGMIND_API_KEY
29payload = {
30    "base_64": False,
31    "custom_height": 1024,
32    "custom_width": 1024,
33    "face_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ccpose_ip.png",
34    "output_format": "png",
35    "pose_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/cc_pose_img.png",
36    "prompt": "A candid photo of a woman , wearing a blue denim shirt and matching jeans. light smile on her face",
37    "quality": 95,
38    "samples": 1,
39    "seed": 2778725438,
40    "use_input_img_dimension": True,
41}
42job = client.submit_async("consistent-character-with-pose", **payload)
43print(job.request_id)                         # available immediately
44try:
45    result = job.wait(timeout=600, interval=1.0)
46except InferenceTimeout as e:
47    print("still running:", e.request_id)
48except InferenceFailed as e:
49    print("failed:", e.detail)